Maximum A Posteriori Fitting

radvel.fitting.maxlike_fitting(post, verbose=True, method='Powell')[source]

Maximum A Posteriori Fitting

Perform a maximum a posteriori fit.

Parameters:
  • post (radvel.Posterior) – Posterior object with initial guesses
  • verbose (bool [optional]) – Print messages and fitted values?
  • method (string [optional]) – Minimization method. See documentation for scipy.optimize.minimize for available options.
Returns:

Posterior object with parameters updated to their maximum a posteriori values
Return type:

radvel.Posterior
radvel.fitting.model_comp(post, params=[], mc_list=[], verbose=False)[source]

Model Comparison

Vary the presence of additional parameters and check how the improve the model fit Save results as list of dictionaries of posterior statistics.

Parameters:
  • post (radvel.Posterior) – posterior object for final best-fit solution with all planets
  • params (list of strings) – (optional) type of comparison to make via bic/aic
  • mc_list (list of OrderedDicts) – (optional) list of dictionaries from different model comparisons. Each value in the dictionary is a tuple with a statistic as the first element and a description as the second element.
  • verbose (bool) – (optional) print out statistics
Returns:

List of dictionaries with fit statistics. Each value in the dictionary is a tuple with the statistic value as the first element and a description of that statistic in the second element.
Return type:

list of OrderedDicts